Cart (Loading....) | Create Account
Close category search window

Estimating 3D motion and shape of multiple objects using Hough transform

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yu Tian, T. ; Dept. of Comput. Sci., Univ. of Central Florida, Orlando, FL, USA ; Shah, M.

Presents a robust method to determine 3D motion and structure of multiple objects. Rather than segmenting the scene containing multiple motions using 3D parametric model, the authors use the general 3D motion model and exploit Hough transform and robust estimation techniques to determine motion and segmentation simultaneously for an arbitrary scene. The authors divide the input image into patches, and for each sample of the translation space and each patch, the authors compute the rotation parameters using weighted least-squares fit. Each patch votes for a sample in the five-dimensional parameter space (translation and rotation). The multiple local maxima in the parameter space naturally correspond to the multiple moving objects. The authors' experimental results show that the proposed method is robust and relatively insensitive to noise

Published in:

Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on  (Volume:1 )

Date of Conference:

9-13 Oct 1994

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.